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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Automatic Electroencephalogram Artifact Removal Using Deep Convolutional Neural Networks
Fábio Lopes, Adriana Leal, Júlio Medeiros, et al.
IEEE Access (2021) Vol. 9, pp. 149955-149970
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction
Katerina Barnova, Martina Mikolasova, Radana Kahánková, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107135-107135
Open Access | Times Cited: 23
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal
Chun‐Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, et al.
NeuroImage (2022) Vol. 263, pp. 119586-119586
Open Access | Times Cited: 34
Removing artefacts and periodically retraining improve performance of neural network-based seizure prediction models
Fábio Lopes, Adriana Leal, Mauro F. Pinto, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
Comparison between epileptic seizure prediction and forecasting based on machine learning
Gonçalo Costa, César Teixeira, Mauro F. Pinto
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
The goal of explaining black boxes in EEG seizure prediction is not to explain models’ decisions
Mauro F. Pinto, Joana Batista, Adriana Leal, et al.
Epilepsia Open (2023) Vol. 8, Iss. 2, pp. 285-297
Open Access | Times Cited: 11
Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy
Adriana Leal, Juliana Curty, Fábio Lopes, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Removing the cardiac field artifact from the EEG using neural network regression
Stefan Arnau, Farzad Sharifian, Edmund Wascher, et al.
Psychophysiology (2023) Vol. 60, Iss. 10
Open Access | Times Cited: 10
EEG epilepsy seizure prediction: the post-processing stage as a chronology
Joana Batista, Mauro F. Pinto, Mariana Tavares, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Addressing data limitations in seizure prediction through transfer learning
Fábio Lopes, Mauro F. Pinto, António Dourado, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
A Deep Neural Network-Based Spike Sorting With Improved Channel Selection and Artefact Removal
Christian Okreghe, Majid Zamani, Andreas Demosthenous
IEEE Access (2023) Vol. 11, pp. 15131-15143
Open Access | Times Cited: 7
Concept-Drifts Adaptation For Machine Learning EEG Epilepsy Seizure Prediction
Edson David Pontes, Mauro F. Pinto, Fábio Lopes, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Concept-drifts adaptation for machine learning EEG epilepsy seizure prediction
Edson David Pontes, Mauro F. Pinto, Fábio Lopes, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Removal of Ocular Artifacts in EEG Using Deep Learning
Mehmet Akif Özdemir, Sumeyye Kizilisik, Onan Güren
2020 Medical Technologies Congress (TIPTEKNO) (2022) Vol. 68, pp. 1-6
Open Access | Times Cited: 4
Dictionary Learning and Greedy Algorithms for Removing Eye Blink Artifacts from EEG Signals
S. R. Sreeja, Shathanaa Rajmohan, Manjit Singh Sodhi, et al.
Circuits Systems and Signal Processing (2023) Vol. 42, Iss. 9, pp. 5663-5683
Closed Access | Times Cited: 2
Artifacts Removal Techniques for the European iEEG Dataset
Shiva Maleki Varnosfaderani, Ian McNulty, Nabil J. Sarhan, et al.
2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS) (2023), pp. 298-302
Closed Access | Times Cited: 2
Classifier Combination Supported by the Sleep-Wake Cycle Improves EEG Seizure Prediction Performance
Ana Oliveira, Mauro F. Pinto, Fábio Lopes, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 8, pp. 2341-2351
Open Access
On the performance of seizure prediction machine learning methods across different databases: the sample and alarm-based perspectives
Inés Lozano Andrade, César Teixeira, Mauro F. Pinto
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Early Detection of Autism Spectrum Disorder (ASD)-A Deep Learning Approach
G. Nirmalapriya, K. M. Ravikumar, M. Jayasri, et al.
Communications in computer and information science (2024), pp. 301-311
Closed Access
Advanced Signal Processing and Machine/Deep Learning Approaches on a Preprocessing Block for EEG Artifact Removal: A Comprehensive Review
Said Agounad, Ousama Tarahi, Mustapha Moufassih, et al.
Circuits Systems and Signal Processing (2024)
Closed Access
Double Discrete Variational Autoencoder for Epileptic EEG Signals Classification
Shufeng Liang, Xin Zhang, Hulin Zhao, et al.
IEEE Access (2024) Vol. 12, pp. 106567-106578
Open Access
A review of epilepsy detection and prediction methods based on EEG signal processing and deep learning
Xizhen Zhang, Xiaoli Zhang, Qiong Huang, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access
Prediction of the epileptic seizure through deep learning techniques using electroencephalography
Mounika Sunkara, S R Reeja
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 32, Iss. 2, pp. 1123-1123
Open Access | Times Cited: 1
EPIC: Annotated epileptic EEG independent components for artifact reduction
Fábio Lopes, Adriana Leal, Júlio Medeiros, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 2
Unsupervised EEG Preictal Interval Identification in Patients with Drug-resistant Epilepsy
Adriana Leal, Juliana Curty, Fábio Lopes, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Deep autoencoder for real-time single-channel EEG cleaning and its smartphone implementation using TensorFlow Lite with hardware/software acceleration
Le Xing, Alex Casson
(2023)
Open Access
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